mindspeed-mm-vlm
mindspeed-mm-vlm is a Model training & evaluation skill for AI agents, published by ascend-ai-coding in the awesome-ascend-skills repository on GitHub. Skillspace rates mindspeed-mm-vlm C (71/100) and it passed the safety scan; the rating is based on static analysis only.
Universal VLM (vision-language understanding model) training guide for Huawei Ascend NPU using MindSpeed-MM. Covers all three framework patterns (Megatron, FSDP2, Custom trainers), weight conversion, dataset preparation (MLLM JSON format), fine-tuning, inference, and evaluation. Supports Qwen2.5VL, Qwen2VL, Qwen3VL, InternVL2.5/3/3.5, GLM4.1V, GLM4.5V, DeepSeekVL2, DeepSeekOCR, Ming, and more. Use when training or fine-tuning any multimodal understanding model on Ascend NPU.
- Grade
- C
- Quality
- 71 / 100
- Safety
- Passed
- GitHub stars
- 136
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 94 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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